Zobrazeno 1 - 10
of 710
pro vyhledávání: '"WANG Pengjun"'
Publikováno v:
网络与信息安全学报, Vol 7, Iss 2, Pp 94-103 (2021)
Physically unclonable function (PUF) can produce intrinsic keys with characteristics of randomness, uniqueness and tamper-proof by exploiting the process deviations which can not be avoided in the chip manufacturing process. A novel hybrid strong and
Externí odkaz:
https://doaj.org/article/e4b2c3c9e8a146289fcd937d3134c480
Publikováno v:
Dianzi Jishu Yingyong, Vol 44, Iss 10, Pp 52-55 (2018)
Through the study of the logic obfuscation circuit and the physical level camouflage technology, a scheme of the domino logic obfuscation circuit is proposed based on dummy contacts, which can prevent reverse engineering. Firstly, the scheme adopts t
Externí odkaz:
https://doaj.org/article/57bcf7813dea4c2796d170b06f4cc390
Publikováno v:
Dianzi Jishu Yingyong, Vol 44, Iss 8, Pp 35-38 (2018)
After studying on the thermal noise model and the matching mechanism of sensitive amplifier, an adaptively matching True Random Number Generator(TRNG) design is proposed. In this design, configurable NMOS array is embedded in the sensitive amplifier
Externí odkaz:
https://doaj.org/article/ef0b776ebe1c4105a26a398f4dbaf8a2
Publikováno v:
Dianzi Jishu Yingyong, Vol 44, Iss 3, Pp 7-10 (2018)
Based on the analysis of the literal circuit and ternary memorizer, a ternary SRAM design method is proposed, which integrates with literal circuit and the CNFET. Firstly, the literal circuit is designed by literal circuit truth table and switch-sign
Externí odkaz:
https://doaj.org/article/3c2b6863e6384b278289356e929c9484
We introduce a conditional pseudo-reversible normalizing flow for constructing surrogate models of a physical model polluted by additive noise to efficiently quantify forward and inverse uncertainty propagation. Existing surrogate modeling approaches
Externí odkaz:
http://arxiv.org/abs/2404.00502
We present a pseudo-reversible normalizing flow method for efficiently generating samples of the state of a stochastic differential equation (SDE) with different initial distributions. The primary objective is to construct an accurate and efficient s
Externí odkaz:
http://arxiv.org/abs/2306.05580
Inspired by the method that can deterministically generated the massive entanglement through phase transitions, we study the ground state properties of a spin-1 condensate mixture, under the premise that the heteronuclear spin-exchange collision is t
Externí odkaz:
http://arxiv.org/abs/2306.05335
Publikováno v:
Gong-kuang zidonghua, Vol 40, Iss 3, Pp 28-31 (2014)
In view of problem of low accuracy of part of prediction values while using gray neural network for gas concentration prediction, the paper proposed a method of using Markov model to correct prediction results of three-order gray neural network model
Externí odkaz:
https://doaj.org/article/64e22d1593f34675a37c04da649d1848
Publikováno v:
In Microelectronics Journal November 2024 153
Autor:
Chen, Zhikang, Zhang, Yuejun, Zhou, Ziyu, Wang, Lixun, Zhang, Huihong, Wang, Pengjun, Xu, Jinyan
Publikováno v:
In Computers in Biology and Medicine October 2024 181